Bokeh 2.3.3 May 2026

If your system relies on Python 3.6 or early Python 3.7 configurations, Bokeh 2.3.3 provides a compatible and reliable backend.

Released in July 2021, Bokeh 2.3.3 represents a vital maintenance milestone in the 2.x lifecycle of the Bokeh data visualization ecosystem . This release continues to be widely used in enterprise legacy systems, specific LTS Python environments, and production pipelines where stability and backwards compatibility are absolute priorities. 🛠️ The Purpose of Bokeh 2.3.3

Fixed an issue where dropdown menus in the MultiChoice input widget were erroneously hidden or cut off by parent overflow rules. 3. Build & Sub-Resource Integrity bokeh 2.3.3

Configured custom extensions to fetch the exact matching version directly from the Bokeh CDN. This prevents major security and compatibility issues resulting from mismatched server and client environments. 💻 Sample Code: Creating a Basic Plot in Bokeh 2.3.3

Corrected specific styling differences in the Div model, preventing unwanted CSS shifts between different views or parent containers. If your system relies on Python 3

Legacy versions of analytics packages like HoloViews or older iterations of Panel rely heavily on the DOM and layout architecture of Bokeh 2.x.

Fixed an issue where the Column layout model ignored the scrollable CSS class, preventing the correct behavior of long lists and overflow UI elements. 🛠️ The Purpose of Bokeh 2

As a maintenance patch, Bokeh 2.3.3 does not introduce new visual glyphs or sweeping architectural changes. Instead, it serves as a critical stabilization release. By addressing several front-end layout issues, server rendering problems, and JavaScript-to-Python model synchronization errors, this version prevents visual regressions in complex analytical dashboards.

While the Bokeh project has since moved to 3.x, certain situations still mandate using the legacy 2.3.3 version: Recommendation